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Computer Vision for Human Detection in Manufacturing

The Tauber project evaluates the use of computer vision, artificial intelligence, and laser/radar technologies for safeguards on automated cells in manufacturing. The use of new technologies has the potential to simplify setup, improve human-machine collaboration and avoid the associated downtime when humans are inside the range of a robot motion either by entering a fenced cell or breaking electronic guards.

2022 General Motors

Student Team:

Harsh Hegde, MSE

Shunsuke Koyama, MBA

Project Sponsors:

Thomas Pilutti

Francisco Guzman

Faculty Advisors:

Monroe Keyserling, College of Engineering

Sanjeev Kumar, Ross School of Business